Hey!
The AI revolution is here — and we need:
- A bold vision for AI
- Something truly valuable to users, not just empty hype built around buzzwords like “blockchain” and “AI”
The first and most critical step is identifying a real, significant user problem that AI can solve.
In my view, the problem is security. We need to build a self-defending blockchain — a safe, welcoming environment for users that shuts out bad actors, including threats like North Korean hacks.
Once we identify “self-defending blockchain” as our goal, the next question is: Can we build it using open-source AI? The answer is a resounding yes.
Two Critical Points of Defense in a Self-Defending Blockchain:
Point 1: Smart Contract Deployment
Valuable smart contracts are deployed very rarely. People usually deploy standards like ERC-20 or Uniswap once and then use them for years. That makes contract deployment a perfect time for the decentralized network to take time and significant computational power analyze the smart contract and its source code using AI.
The network can require developers to submit the source code, test code, and test results, ensuring the contract is properly tested.
The AI can then analyze the contract over several days and assign it a security rating from 0 to 100, or more intuitively: green, yellow, or red.
Similarly, user addresses can be rated for security based on factors like account age, transaction history, prior interactions, and fund flows.
Point 2: Smart Contract Execution
Typically, users submit transactions through wallets like Metamask — either to a smart contract or directly to another address.
Here, AI will require a human-readable description of the transaction, explaining what it does. The AI will pre-execute the transaction and engage the user in a real-time conversation, ensuring the user truly understands what the transaction does, where funds are going, and what risks are involved.
This conversation will use the contract security analysis from Point 1.
Where Does the AI Run?
a) Community can develop base models for Points 1 and 2.
These models must be fast enough to run on ETH nodes. For contract deployment, longer runtimes (days) are acceptable. Each AI inference must be replicated on multiple randomly chosen nodes, and a 2/3 supermajority will determine the consensus result.
b) For more advanced analysis, the network can introduce an open auction model, allowing anyone in the world to participate in the evaluation.
The contract or transaction submitter can choose to pay for the best answers, selected by them. High-value use cases will naturally opt for higher-quality models, even at a premium.
Summary: MVP for Self-Defending AI
- Security analysis at smart contract submission
- Conversational AI at transaction submission — using the analysis to help users understand and avoid malicious actions
These two components must be compatible with Ethereum ecosystem tools and APIs to provide seamless, AI-enhanced protection.